add supported apps

Signed-off-by: YunLiu <55491388+KumoLiu@users.noreply.github.com>

models/spleen_ct_segmentation_real_time/configs/metadata.json

@@ -1,5 +1,5 @@
 {
-    "schema": "https://github.com/Project-MONAI/MONAI-extra-test-data/releases/download/0.8.1/meta_schema_20220324.json",
+    "schema": "https://github.com/Project-MONAI/MONAI-extra-test-data/releases/download/0.8.1/meta_schema_20240725.json",
     "version": "0.0.1",
     "changelog": {
         "0.0.1": "add real time spleen segmentation model"
@@ -26,6 +26,10 @@
         "Xia, Yingda, et al. '3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training. arXiv preprint arXiv:1811.12506 (2018). https://arxiv.org/abs/1811.12506.",
         "Kerfoot E., Clough J., Oksuz I., Lee J., King A.P., Schnabel J.A. (2019) Left-Ventricle Quantification Using Residual U-Net. In: Pop M. et al. (eds) Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges. STACOM 2018. Lecture Notes in Computer Science, vol 11395. Springer, Cham. https://doi.org/10.1007/978-3-030-12029-0_40"
     ],
+    "supported_apps": {
+        "train": "monai",
+        "infer": "holoscan"
+    },
     "network_data_format": {
         "inputs": {
             "image": {

models/spleen_ct_segmentation_real_time/scripts/inference.py

@@ -37,8 +37,8 @@ class InferenceWorkflow(PythonicWorkflow):
     Test class simulates the bundle workflow defined by Python script directly.
     """
 
-    def __init__(self, workflow_type: str = "inference", properties_path: str = "./properties.json"):
-        super().__init__(workflow_type=workflow_type, properties_path=properties_path)
+    def __init__(self, workflow_type: str = "inference", config_file: str | None = None, properties_path: str = "./properties.json"):
+        super().__init__(workflow_type=workflow_type, properties_path=properties_path, config_file=config_file)
         # set root log level to INFO and init a evaluation logger, will be used in `StatsHandler`
         logging.basicConfig(stream=sys.stdout, level=logging.INFO)
         get_logger("eval_log")
@@ -73,7 +73,7 @@ def initialize(self):
                 AsDiscreted(keys="pred", argmax=True),
             ]
         )
-        self.inferer = SlidingWindowInferer(roi_size=(96, 96, 96), sw_batch_size=1, overlap=0)
+        self.inferer = SlidingWindowInferer(roi_size=self.parser.roi_size, sw_batch_size=1, overlap=0)
 
     def run(self):
         data = self.dataset[0]